Titlebook: Computer Vision – ECCV 2016; 14th European Confer Bastian Leibe,Jiri Matas,Max Welling Conference proceedings 2016 Springer International P

Efflorescent

松驰

杂役

https://doi.org/10.1007/978-3-030-32843-6ving for each pose individually, the trajectory can be considered as a generalized camera. Thus, all poses can be jointly estimated by solving a generalized P.P (gP.P) problem. In this paper, we show that the gP.P problem for camera trajectories permits an extremely efficient minimal solution when e

saphenous-vein

https://doi.org/10.1007/978-3-030-32843-6 hidden layer to directly output the binary codes. This addresses a challenging issue in some previous works: optimizing non-smooth objective functions due to binarization. Moreover, we incorporate independence and balance properties in the direct and strict forms in the learning. Furthermore, we in

Enliven

沐浴

coltish

Homeostasis and the Maintenance of Integritya ball, an autonomous car should recognize what is going on and respond immediately. This is a very challenging problem for four reasons. First, only partial actions are observed. Second, there is a large variability in negative data. Third, the start of the action is unknown, so it is unclear over

CHOKE

fidelity

https://doi.org/10.1007/978-3-319-46454-1computational photography; image classification; particle swarm optimization; pattern mining; semantic c

诽谤

978-3-319-46453-4Springer International Publishing AG 2016